Triple
T37329663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William O’Neal |
E926707
|
entity |
| Predicate | becameInformantTo |
P87074
|
FINISHED |
| Object | avoid prosecution on criminal charges |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: avoid prosecution on criminal charges | Statement: [William O’Neal, becameInformantTo, avoid prosecution on criminal charges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: becameInformantTo Context triple: [William O’Neal, becameInformantTo, avoid prosecution on criminal charges]
-
A.
turnedInformant
chosen
Indicates that an individual who was previously involved with a group or activity has begun secretly providing information about it to authorities or another opposing party.
-
B.
wasTransformedBy
Indicates that an entity has undergone a change of state, form, or condition as the result of an action, process, or agent.
-
C.
wereInternedBy
Indicates that an entity was forcibly confined, detained, or held in an internment facility by another entity (typically an authority or government).
-
D.
secretlyInformed
Indicates that one entity provided information to another in a concealed or confidential manner, without the knowledge of others.
-
E.
turnedInToAuthorities
Indicates that one entity surrendered or delivered another entity to law enforcement or official authorities.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76eb386d88190a8d511aa11540dfc |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:16 p.m.